
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Fri, Apr 22, 2022 - 21:12:01
% Requires LaTeX packages: rotating 
\begin{sidewaystable}[!htbp] \centering 
  \caption{Effects of import competition on newspaper references to trade,
        exposure-robust standard errors} 
  \label{table_news_trade_short_ex} 
\begin{tabular}{@{\hspace{-10pt}}l@{\hspace{-10pt}}cccccccc} 
\toprule 
 & \multicolumn{4}{c}{``import''} & \multicolumn{4}{c}{``trade''} \\ 
 & (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8)\\ 
\midrule  
\\[-2.1ex] $\Delta\textrm{IPW}$ & 0.089$^{***}$ & 0.100$^{***}$ & 0.198$^{***}$ & 0.192$^{**}$ & 0.146$^{***}$ & 0.111$^{***}$ & 0.253$^{***}$ & 0.206$^{***}$ \\ 
  & (0.023) & (0.032) & (0.058) & (0.080) & (0.028) & (0.031) & (0.052) & (0.067) \\ 
 \addlinespace 
\midrule  
Years & All & All & 1900--1910 & 1900--1910 & All & All & 1900--1910 & 1900--1910 \\ 
Initial Mf x year &  & x &  & x &  & x &  & x \\ 
First stage F-stat & 7.4 & 7.2 & 8.2 & 7.4 & 7.4 & 7.2 & 8.2 & 7.4 \\ 
Observations & 665 & 665 & 285 & 285 & 665 & 665 & 285 & 285 \\ 
\bottomrule 
\textit{Note:}  & \multicolumn{8}{l}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
 & \multicolumn{8}{l}{\parbox[t]{0.6\textwidth}{This table replicates the results of
        Table \ref{table_news_trade_short_cl} using the aggregation and
        standard error calculation methods recommended by Borusyak, Hull, and
        Jaravel (2022).
        Newspaper-level variables aggregated up to the industry level.
        Dependent variable is number of uses of
        specified term per newspaper issue, standardized. All models include
        newspaper and year fixed effects. For newspapers in cities, $\Delta$IPW
        is calculated at the city-, not constituency-level.
        Standard errors clustered by industry in parentheses.}} \\ 
\end{tabular} 
\end{sidewaystable} 
